TA03 Bio-Analysis and Control
Time : 09:00~10:30
Room : Room 103
Chair : Dr.Tomasz Gancarczyk (University of Bielsko-Biala, )
09:00~09:15        TA03-1
Synergetic Control for HIV Infection System of CD4+T Cells

Arsit Boonyaprapasorn(Chulachomklao Royal Military Academy, Thailand), Parinya Sa Ngiamsunthorn(King Mongkut’s University of Technology Thonburi, Thailand), Thunyaseth Sethaput(Sirindhorn International Institute of Technology, Thailand)

The HIV infection system is one of the important dynamical systems of viruses. The aim of the treatment is to control the amount of uninfected CD4+T cells to the desired level, and to drive the amount of infected CD4+T cells and free virus particles approach to zero as time increased. The main focus of this study is to investigate the capability of the synergetic control applying on HIV system to determine the treatment. The simulation of the controlled HIV system showed that the state variables approach to the desired values. The synergetic controller is feasible for HIV infection treatment.
09:15~09:30        TA03-2
On Multivariate Method of Qualitative Analysis of Hodgkin-Huxley Model with Decision Tree Induction

Vasyl Martsenyuk, Kornel Warwas, Krzysztof Augustynek, Aleksandra Kłos-Witkowska(University of Bielsko-Biala, Poland), Volodymyr Karpinskyi(Coventry University, United Kingdom), Zoryana Mayhruk, Natalya Klymuk(Ternopil State Medical University, Ukraine)

This paper presents a data mining technique for qualitative analysis of Hodgkin-Huxley model of cell excitability. Such problem cannot be solved analytically. Therefore we apply Monte-Carlo techniques for the generation of model parameters, and use data mining algorithm for classification of learning tuples obtained. As a result we attain a decision tree capable of classifying the excitability depending on the relationship between initial conditions and between rate constants. An example for classification of excitability of three types is presented
09:30~09:45        TA03-3
The Evolution Mechanism Analysis of Regional Industrial Network

Bin Wang(School of Economics and Management, Southeast University, China)

Based on the model of optimizing background value GM(1,1), this paper builds the input-output grey forecasting model and the regional industrial network which is obtained from the forecast data. It analyzes the evolution mechanism of regional industrial network. The analysis result that: first, the input-output grey forecasting model is reasonable. The analysis result based on the forecast data has certain scientific nature, which is in line with the reality. Second, through the analysis of the characteristics of the industrial network, the direction of the changing relationship between the re
09:45~10:00        TA03-4
Methods of Monitoring, Analysis and Short-term Prognosis of Gas Consumption Taking into Consideration its Cyclic and Non-stationary Structure in Heating Season

Nataliya Zagorodna, Ruslan Kozak(Ternopil Ivan Pul’uj National Technical University, Ukraine), Tomasz Gancarczyk, Paweł Falat(University of Bielsko-Biala, Poland)

Review of main gas consumption prognosis and analysis models, their advantages and disadvantages are given here. Factors, which influence into gas consumption are analyzed, the most important of them are determined. Method of short-term interval gas consumption prognosis in heating season is presented. It gives us a possibility to calculate prognosis values of gas expenses in heating season under the given temperature of environment and cyclic structure of gas consumption.
10:00~10:15        TA03-5
Optimal placement of collocated actuators and sensors for active vibration control of cable-network antenna reflectors

Yang Liu, Weizhong Zhang, Xiuyun Meng(Beijing Institute of Technology, China)

This paper is aimed at finding the optimal locations of collocated actuator and sensor pairs for active vibration control of cable-network antenna reflectors. The optimal criterion for placement of actuator and sensor pairs is to choose locations that simultaneously maximize the H 2 norms of each dominant mode, and simultaneously minimize the H 2 norms of the residual modes when spillover effect is considered. Direct velocity feedback is applied to verify the effectiveness of the optimized locations. Numerical simulations indicate that the method proposed in this paper is feasible.
10:15~10:30        TA03-6
A Framework and Test Bed for the Single-Living Senior Citizens Care : Access and Grave site Monitorings

Jun-Ho Huh(Research Professor of Department of Architectural Engineering, Dankook University at Jukjeon, Yongin, Korea)

While solitary deaths of elderlies living alone are becoming an issue in the Republic of Korea, the number of these single-living senior citizens around the world is on a rising trend and the studies are actively being carried out for their lonely deaths. Thus, in this, paper, the author proposes a framework for their care based on the changes in the electric power production capacity and demands. The proposed framework is constructed on the basis of author's preceding studies [1-6] and combines IoT technology with the power line communication networks.

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